15 years ago, there was no Facebook. There was no C++ compiler with the diagnostic messages in Russian (my native language). Several C++ standards have been released since then, and technologies have made a huge leap forward in development. Today, having so many various frameworks, it doesn’t take too long to write a code analyzer or a programming language of your own.
This post is about how I started my career and reached an expert level by means of self-development and writing a C++ compiler.

IT conferences and meetings on programming languages see a growing number of speakers talking about static code analysis. Although this field is quite specific, there is still a number of interesting discussions to be found here to help programmers understand the methods, ways of use, and specifics of static code analysis. In this article, we have collected a number of videos on static analysis whose easy style of presentation makes them useful and interesting to a wide audience of both skilled and novice programmers.

In May 2016, German game-development company Crytek made the, decision to upload the source code of their game engine, 'CryEngine V' to GitHub. The project is in active development, which leads to a large number of errors in the code. We have already checked the project with PVS-Studio for Windows, and now we can also analyze it using PVS-Studio for Linux. There was enough material for an article with the description of only crucial errors.

At the HighLoad++ conference in 2016, the development manager of “M-Tex” Vadim Madison talked about growth from the system, for which a hundred of microservices seemed a huge number, to a high-load project, in which a few thousands of microservices is a common thing.
I will tell you how we launched microservices on quite a high-load project. It’s rather an aggregate experience but since I work for M-Tex, let me tell you a couple of words about who we are.

This article is based on Your Language Sucks in the form of half a joke. In the mentioned article, most of the “problems” are either synthetic and rarely used, or far-fetched due to expectations of the language correspondence to a theoretical paradigm the language should correspond to. On the other hand, the article misses a few things that really complicate my life as an engineer.
I’m not claiming to have an absolute knowledge of Kotlin, so there can be some mistakes in the article.

In the first part of the article, I will enumerate lots of UNIX cheap and dirty hacks, and other various drawbacks. In the second part, we’ll talk about the UNIX philosophy. This article was written hastily, and I don’t want to further improve it. You’re lucky I wrote it. Therefore, I may provide some facts without source links.
Dirty hacks in UNIX started to arise when UNIX was released, and it was long before Windows came to the scene, I guess there wasn’t even Microsoft DOS at the time (I guess and I don’t bother to check, so check it yourself).

Orchard is a free, open source, community-focused Content Management System built on the ASP.NET MVC platform. Software IP management and project development governance are provided by Outercurve Foundation, a nonprofit fund.
For us, the developers of the PVS-Studio static analyzer, this is another chance to check an interesting project, tell people (and developers) about the errors we find and test our analyzer, of course. Today we’ll speak about the errors we found in the Orchard CMS project.

Story One: A Memory When I was a little boy and went to elementary school, the following story happened to me. During a break, I was in a classroom with several friends of mine. Suddenly, a flower fell from the shelf. At that very moment, the teacher entered the room and accused us of vandalism without looking into the situation. We were reprimanded and our parents were called to school.

I started working with PostgreSQL three years ago. During this time, I have managed to collect all the bugs you could imagine. To tell the truth, if I knew the current sad experience three years ago, my life would have been much easier. That’s exactly why I have decided to write a completely subjective article with a set of rules I stick to when using PostgreSQL. Perhaps, this article will help you avoid bugs I came across (and meet some other ones, ha ha!

Not so long ago we worked on a diagnostic rule related to the finalizer check. This provoked an argument on the details of the garbage collector work and the finalization of objects. Although we have been programming in C# for more than 5 years, we haven’t achieved any consensus as regards this question, so I decided to study it more thoroughly.
Introduction Usually .NET developers encounter a finalizer when they need to free an unmanaged resource.